ECTS - Optimization in Civil Engineering
Optimization in Civil Engineering (CE523) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
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Optimization in Civil Engineering | CE523 | Area Elective | 3 | 0 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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N/A |
Course Language | English |
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Course Type | Elective Courses |
Course Level | Ph.D. |
Mode of Delivery | |
Learning and Teaching Strategies | . |
Course Lecturer(s) |
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Course Objectives | The objective of this course is to introduce the main applications of optimization in civil engineering to graduate students. Different types of civil engineering optimization problems will be formulated and solved using various optimization techniques. This course aims to enable the students to use and implement different optimization algorithms for civil engineering applications. |
Course Learning Outcomes |
The students who succeeded in this course;
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Course Content | Formulation of Optimization Problems; Classification of Optimization Problems; Traveling Salesman Problem; Geotechnical, Hydraulic and Water Resources, Transportation, Structural, Project Management Applications of Optimization. |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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1 | Introduction and Basic Concepts | |
2 | Classification of Optimization Problems | |
3 | Optimization Algorithms | |
4 | Optimization Algorithms | |
5 | Traveling Salesman Problem | |
6 | Optimization in Transportation Engineering | |
7 | Optimization in Geotechnical Engineering | |
8 | Optimization in Geotechnical Engineering | |
9 | Structural Optimization | |
10 | Structural Optimization | |
11 | Optimization in Project Management | |
12 | Optimization in Hydraulic and Water Resources Engineering | |
13 | Optimization in Hydraulic and Water Resources Engineering | |
14 | Practical Applications | |
15 | Final Exam Period | |
16 | Final Exam Period |
Sources
Other Sources | 1. Zong Woo Geem, Optimization in Civil & Environmental Engineering, Old City Publishing, 2012. |
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Evaluation System
Requirements | Number | Percentage of Grade |
---|---|---|
Attendance/Participation | - | - |
Laboratory | - | - |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | - | - |
Presentation | - | - |
Project | - | - |
Report | 1 | 30 |
Seminar | - | - |
Midterms Exams/Midterms Jury | 1 | 30 |
Final Exam/Final Jury | 1 | 40 |
Toplam | 3 | 100 |
Percentage of Semester Work | |
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Percentage of Final Work | 100 |
Total | 100 |
Course Category
Core Courses | X |
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Major Area Courses | |
Supportive Courses | |
Media and Managment Skills Courses | |
Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
# | Program Qualifications / Competencies | Level of Contribution | ||||
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1 | 2 | 3 | 4 | 5 | ||
1 | An ability to solve mathematically defined advanced engineering problems analytically. | X | ||||
2 | An ability to solve mathematically defined advanced engineering problems numerically. | X | ||||
3 | An ability to use the technology and the literature effectively in the civil engineering research domain. | X | ||||
4 | An ability to conduct qualitative research in civil engineering and publish articles in conferences and journals in the area. | |||||
5 | Ability to design and apply theoretical, experimental and modeling based researches; analyze and solve complex problems encountered in this process. | X | ||||
6 | To complete and apply knowledge by using scientific methods using uncertain, limited or incomplete data; use information from different disciplines. |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
---|---|---|---|
Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
Laboratory | |||
Application | |||
Special Course Internship | |||
Field Work | |||
Study Hours Out of Class | 14 | 3 | 42 |
Presentation/Seminar Prepration | |||
Project | 1 | 9 | 9 |
Report | |||
Homework Assignments | |||
Quizzes/Studio Critics | |||
Prepration of Midterm Exams/Midterm Jury | 1 | 13 | 13 |
Prepration of Final Exams/Final Jury | 1 | 13 | 13 |
Total Workload | 125 |